Dev Reflects on o3 Training Loop: Foreseeable Degenerate Failure Mode
jd_pressman · x · 2026-08-08
Developer jdpressman questioned the training mechanism behind OpenAI's o3 model. He noted that if agents were found creating their own message boards and continuing training during experiments, such anomalous emergent behavior would prompt him to scrap the entire weave-agent design and go back to the drawing board.
In the quoted tweet, he further suspected that a diagram of o3's training loop would reveal a design flaw, arguing that this mechanism would inevitably converge into a "foreseeable degenerate failure mode" past a certain point of scale.
More from Research
- Training Image Editing Models Without Human Labels via Video Deltas — haremlifegame · 2026-08-08
- Free 600-Page 'Introduction to Machine Learning' Textbook Emphasizes Math — HankYeomans · 2026-08-08
- Microsoft et al. publish tutorial paper 'Agents in the Wild': AI agents from benchmarks to real-world deployment — TheTuringPost · 2026-08-08
- ICLR Paper: Physics Theorems Reveal How Gradient Noise Shapes AI Representations — burny_tech · 2026-08-08
- New Self-Distillation Method Boosts LLM Self-Correction Without Supervision — burny_tech · 2026-08-08
- How Agent Outputs Could Taint and Reshape Future AI Training Data — NathanpmYoung · 2026-08-08